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Found 1346 results
2016
Alam T, Uludag M, Essack M, Salhi A, Ashoor H, Hanks JB, Kapfer C, Mineta K, Gojobori T, Bajic VB.  2016.  FARNA: knowledgebase of inferred functions of non-coding RNA transcripts.. Nucleic Acids Res.
Pal JKumar, Ray SSankar, Cho S-B, Pal SK.  2016.  Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer.. IEEE/ACM Trans Comput Biol Bioinform.
Zhang L, Xie T, Tian M, Li J, Song S, Ouyang L, Liu B, Cai H.  2016.  GAMDB: a web resource to connect microRNAs with autophagy in gerontology.. Cell Prolif. 49(2):246-51.
Bai W, Yang W, Wang W, Wang Y, Liu C, Jiang Q, Hua J, Liao M.  2016.  GED: a manually curated comprehensive resource for epigenetic modification of gametogenesis.. Brief Bioinform.
Zhao M, Liu Y, Huang F, Qu H.  2016.  A gene browser of colorectal cancer with literature evidence and pre-computed regulatory information to identify key tumor suppressors and oncogenes.. Sci Rep. 6:30624.
Ruffalo M, Bar-Joseph, iv Z.  2016.  Genome wide predictions of miRNA regulation by transcription factors.. Bioinformatics. 32(17):i746-i754.
Reimand J, Arak T, Adler P, Kolberg L, Reisberg S, Peterson H, Vilo J.  2016.  g:Profiler-a web server for functional interpretation of gene lists (2016 update).. Nucleic Acids Res. 44(W1):W83-9.
Gallart APaytuví, Pulido AHermoso, de Lagrán IAnzar Mart, Sanseverino W, Cigliano RAiese.  2016.  GREENC: a Wiki-based database of plant lncRNAs.. Nucleic Acids Res. 44(D1):D1161-6.
Huntley RP, Sitnikov D, Orlic-Milacic M, Balakrishnan R, D'Eustachio P, Gillespie ME, Howe D, Kalea AZ, Maegdefessel L, Osumi-Sutherland D et al..  2016.  Guidelines for the functional annotation of microRNAs using the Gene Ontology.. RNA. 22(5):667-76.
Stegmayer G, Yones C, Kamenetzky L, Milone DH.  2016.  High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM.. IEEE/ACM Trans Comput Biol Bioinform.
Xu Y, Guo M, Liu X, Wang C, Liu Y, Liu G.  2016.  Identify bilayer modules via pseudo-3D clustering: applications to miRNA-gene bilayer networks.. Nucleic Acids Res. 44(20):e152.
Xu T, Le TDuy, Liu L, Wang R, Sun B, Li J.  2016.  Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.. PLoS One. 11(4):e0152792.
Pal JKumar, Ray SSankar, Pal SK.  2016.  Identifying relevant group of miRNAs in cancer using fuzzy mutual information.. Med Biol Eng Comput. 54(4):701-10.
Liu B, Fang L, Liu F, Wang X, Chou K-C.  2016.  iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach.. J Biomol Struct Dyn. 34(1):223-35.
Chen J, Wang X, Liu B.  2016.  iMiRNA-SSF: Improving the Identification of MicroRNA Precursors by Combining Negative Sets with Different Distributions.. Sci Rep. 6:19062.
Ryan BC, Werner TS, Howard PL, Chow RL.  2016.  ImiRP: a computational approach to microRNA target site mutation.. BMC Bioinformatics. 17:190.
Johnson NR, Yeoh JM, Coruh C, Axtell MJ.  2016.  Improved Placement of Multi-mapping Small RNAs.. G3 (Bethesda). 6(7):2103-11.
Wang X.  2016.  Improving microRNA target prediction by modeling with unambiguously identified microRNA-target pairs from CLIP-ligation studies.. Bioinformatics. 32(9):1316-22.
Ovando-Vázquez C, Lepe-Soltero D, Abreu-Goodger C.  2016.  Improving microRNA target prediction with gene expression profiles.. BMC Genomics. 17:364.
Lee E, Ito K, Zhao Y, Schadt EE, Irie HY, Zhu J.  2016.  Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.. Bioinformatics. 32(1):96-105.
Liu Y, Zeng X, He Z, Zou Q.  2016.  Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources.. IEEE/ACM Trans Comput Biol Bioinform.
Falcone E, Grandoni L, Garibaldi F, Manni I, Filligoi G, Piaggio G, Gurtner A.  2016.  Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci.. PLoS One. 11(4):e0153658.
Garcia-Garcia F, Panadero J, Dopazo J, Montaner D.  2016.  Integrated gene set analysis for microRNA studies.. Bioinformatics.
Xue B, Lipps D, Devineni S.  2016.  Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset.. PLoS One. 11(12):e0168392.
Shi H, Zhang G, Zhou M, Cheng L, Yang H, Wang J, Sun J, Wang Z.  2016.  Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.. PLoS One. 11(2):e0148521.

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